{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "discrete-lightning",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import mglearn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "after-dialogue",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.datasets import load_iris"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "stunning-outside",
   "metadata": {},
   "source": [
    "## 获取鸢尾花数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "unknown-potential",
   "metadata": {},
   "outputs": [],
   "source": [
    "iris_datasets = load_iris()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "timely-priest",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['data', 'target', 'frame', 'target_names', 'DESCR', 'feature_names', 'filename'])"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 返回值是一个类似字典的类型\n",
    "iris_datasets.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "judicial-antibody",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'.. _iris_dataset:\\n\\nIris plants dataset\\n--------------------\\n\\n**Data Set Characteristics:**\\n\\n    :Number of Instances: 150 (50 in each of three classes)\\n    :Number of Attributes: 4 numeric, predictive attributes and the class\\n    :Attribute Information:\\n        - sepal length in cm\\n        - sepal width in cm\\n        - petal length in cm\\n        - petal width in cm\\n        - class:\\n                - Iris-Setosa\\n                - Iris-Versicolour\\n                - Iris-Virginica\\n                \\n    :Summary Statistics:\\n\\n    ============== ==== ==== ======= ===== ====================\\n                    Min  Max   Mean    SD   Class Correlation\\n    ============== ==== ==== ======= ===== ====================\\n    sepal length:   4.3  7.9   5.84   0.83    0.7826\\n    sepal width:    2.0  4.4   3.05   0.43   -0.4194\\n    petal length:   1.0  6.9   3.76   1.76    0.9490  (high!)\\n    petal width:    0.1  2.5   1.20   0.76    0.9565  (high!)\\n    ============== ==== ==== ======= ===== ====================\\n\\n    :Missing Attribute Values: None\\n    :Class Distribution: 33.3% for each of 3 classes.\\n    :Creator: R.A. Fisher\\n    :Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\\n    :Date: July, 1988\\n\\nThe famous Iris database, first used by Sir R.A. Fisher. The dataset is taken\\nfrom Fisher\\'s paper. Note that it\\'s the same as in R, but not as in the UCI\\nMachine Learning Repository, which has two wrong data points.\\n\\nThis is perhaps the best known database to be found in the\\npattern recognition literature.  Fisher\\'s paper is a classic in the field and\\nis referenced frequently to this day.  (See Duda & Hart, for example.)  The\\ndata set contains 3 classes of 50 instances each, where each class refers to a\\ntype of iris plant.  One class is linearly separable from the other 2; the\\nlatter are NOT linearly separable from each other.\\n\\n.. topic:: References\\n\\n   - Fisher, R.A. \"The use of multiple measurements in taxonomic problems\"\\n     Annual Eugenics, 7, Part II, 179-188 (1936); also in \"Contributions to\\n     Mathematical Statistics\" (John Wiley, NY, 1950).\\n   - Duda, R.O., & Hart, P.E. (1973) Pattern Classification and Scene Analysis.\\n     (Q327.D83) John Wiley & Sons.  ISBN 0-471-22361-1.  See page 218.\\n   - Dasarathy, B.V. (1980) \"Nosing Around the Neighborhood: A New System\\n     Structure and Classification Rule for Recognition in Partially Exposed\\n     Environments\".  IEEE Transactions on Pattern Analysis and Machine\\n     Intelligence, Vol. PAMI-2, No. 1, 67-71.\\n   - Gates, G.W. (1972) \"The Reduced Nearest Neighbor Rule\".  IEEE Transactions\\n     on Information Theory, May 1972, 431-433.\\n   - See also: 1988 MLC Proceedings, 54-64.  Cheeseman et al\"s AUTOCLASS II\\n     conceptual clustering system finds 3 classes in the data.\\n   - Many, many more ...'"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看数据集的简要说明\n",
    "iris_datasets['DESCR']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "further-label",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['setosa', 'versicolor', 'virginica'], dtype='<U10')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 花的品种\n",
    "iris_datasets['target_names']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "suburban-mauritius",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['sepal length (cm)',\n",
       " 'sepal width (cm)',\n",
       " 'petal length (cm)',\n",
       " 'petal width (cm)']"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 特征值\n",
    "iris_datasets['feature_names']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "nervous-catalyst",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[5.1, 3.5, 1.4, 0.2],\n",
       "       [4.9, 3. , 1.4, 0.2],\n",
       "       [4.7, 3.2, 1.3, 0.2],\n",
       "       [4.6, 3.1, 1.5, 0.2],\n",
       "       [5. , 3.6, 1.4, 0.2],\n",
       "       [5.4, 3.9, 1.7, 0.4],\n",
       "       [4.6, 3.4, 1.4, 0.3],\n",
       "       [5. , 3.4, 1.5, 0.2],\n",
       "       [4.4, 2.9, 1.4, 0.2],\n",
       "       [4.9, 3.1, 1.5, 0.1],\n",
       "       [5.4, 3.7, 1.5, 0.2],\n",
       "       [4.8, 3.4, 1.6, 0.2],\n",
       "       [4.8, 3. , 1.4, 0.1],\n",
       "       [4.3, 3. , 1.1, 0.1],\n",
       "       [5.8, 4. , 1.2, 0.2],\n",
       "       [5.7, 4.4, 1.5, 0.4],\n",
       "       [5.4, 3.9, 1.3, 0.4],\n",
       "       [5.1, 3.5, 1.4, 0.3],\n",
       "       [5.7, 3.8, 1.7, 0.3],\n",
       "       [5.1, 3.8, 1.5, 0.3],\n",
       "       [5.4, 3.4, 1.7, 0.2],\n",
       "       [5.1, 3.7, 1.5, 0.4],\n",
       "       [4.6, 3.6, 1. , 0.2],\n",
       "       [5.1, 3.3, 1.7, 0.5],\n",
       "       [4.8, 3.4, 1.9, 0.2],\n",
       "       [5. , 3. , 1.6, 0.2],\n",
       "       [5. , 3.4, 1.6, 0.4],\n",
       "       [5.2, 3.5, 1.5, 0.2],\n",
       "       [5.2, 3.4, 1.4, 0.2],\n",
       "       [4.7, 3.2, 1.6, 0.2],\n",
       "       [4.8, 3.1, 1.6, 0.2],\n",
       "       [5.4, 3.4, 1.5, 0.4],\n",
       "       [5.2, 4.1, 1.5, 0.1],\n",
       "       [5.5, 4.2, 1.4, 0.2],\n",
       "       [4.9, 3.1, 1.5, 0.2],\n",
       "       [5. , 3.2, 1.2, 0.2],\n",
       "       [5.5, 3.5, 1.3, 0.2],\n",
       "       [4.9, 3.6, 1.4, 0.1],\n",
       "       [4.4, 3. , 1.3, 0.2],\n",
       "       [5.1, 3.4, 1.5, 0.2],\n",
       "       [5. , 3.5, 1.3, 0.3],\n",
       "       [4.5, 2.3, 1.3, 0.3],\n",
       "       [4.4, 3.2, 1.3, 0.2],\n",
       "       [5. , 3.5, 1.6, 0.6],\n",
       "       [5.1, 3.8, 1.9, 0.4],\n",
       "       [4.8, 3. , 1.4, 0.3],\n",
       "       [5.1, 3.8, 1.6, 0.2],\n",
       "       [4.6, 3.2, 1.4, 0.2],\n",
       "       [5.3, 3.7, 1.5, 0.2],\n",
       "       [5. , 3.3, 1.4, 0.2],\n",
       "       [7. , 3.2, 4.7, 1.4],\n",
       "       [6.4, 3.2, 4.5, 1.5],\n",
       "       [6.9, 3.1, 4.9, 1.5],\n",
       "       [5.5, 2.3, 4. , 1.3],\n",
       "       [6.5, 2.8, 4.6, 1.5],\n",
       "       [5.7, 2.8, 4.5, 1.3],\n",
       "       [6.3, 3.3, 4.7, 1.6],\n",
       "       [4.9, 2.4, 3.3, 1. ],\n",
       "       [6.6, 2.9, 4.6, 1.3],\n",
       "       [5.2, 2.7, 3.9, 1.4],\n",
       "       [5. , 2. , 3.5, 1. ],\n",
       "       [5.9, 3. , 4.2, 1.5],\n",
       "       [6. , 2.2, 4. , 1. ],\n",
       "       [6.1, 2.9, 4.7, 1.4],\n",
       "       [5.6, 2.9, 3.6, 1.3],\n",
       "       [6.7, 3.1, 4.4, 1.4],\n",
       "       [5.6, 3. , 4.5, 1.5],\n",
       "       [5.8, 2.7, 4.1, 1. ],\n",
       "       [6.2, 2.2, 4.5, 1.5],\n",
       "       [5.6, 2.5, 3.9, 1.1],\n",
       "       [5.9, 3.2, 4.8, 1.8],\n",
       "       [6.1, 2.8, 4. , 1.3],\n",
       "       [6.3, 2.5, 4.9, 1.5],\n",
       "       [6.1, 2.8, 4.7, 1.2],\n",
       "       [6.4, 2.9, 4.3, 1.3],\n",
       "       [6.6, 3. , 4.4, 1.4],\n",
       "       [6.8, 2.8, 4.8, 1.4],\n",
       "       [6.7, 3. , 5. , 1.7],\n",
       "       [6. , 2.9, 4.5, 1.5],\n",
       "       [5.7, 2.6, 3.5, 1. ],\n",
       "       [5.5, 2.4, 3.8, 1.1],\n",
       "       [5.5, 2.4, 3.7, 1. ],\n",
       "       [5.8, 2.7, 3.9, 1.2],\n",
       "       [6. , 2.7, 5.1, 1.6],\n",
       "       [5.4, 3. , 4.5, 1.5],\n",
       "       [6. , 3.4, 4.5, 1.6],\n",
       "       [6.7, 3.1, 4.7, 1.5],\n",
       "       [6.3, 2.3, 4.4, 1.3],\n",
       "       [5.6, 3. , 4.1, 1.3],\n",
       "       [5.5, 2.5, 4. , 1.3],\n",
       "       [5.5, 2.6, 4.4, 1.2],\n",
       "       [6.1, 3. , 4.6, 1.4],\n",
       "       [5.8, 2.6, 4. , 1.2],\n",
       "       [5. , 2.3, 3.3, 1. ],\n",
       "       [5.6, 2.7, 4.2, 1.3],\n",
       "       [5.7, 3. , 4.2, 1.2],\n",
       "       [5.7, 2.9, 4.2, 1.3],\n",
       "       [6.2, 2.9, 4.3, 1.3],\n",
       "       [5.1, 2.5, 3. , 1.1],\n",
       "       [5.7, 2.8, 4.1, 1.3],\n",
       "       [6.3, 3.3, 6. , 2.5],\n",
       "       [5.8, 2.7, 5.1, 1.9],\n",
       "       [7.1, 3. , 5.9, 2.1],\n",
       "       [6.3, 2.9, 5.6, 1.8],\n",
       "       [6.5, 3. , 5.8, 2.2],\n",
       "       [7.6, 3. , 6.6, 2.1],\n",
       "       [4.9, 2.5, 4.5, 1.7],\n",
       "       [7.3, 2.9, 6.3, 1.8],\n",
       "       [6.7, 2.5, 5.8, 1.8],\n",
       "       [7.2, 3.6, 6.1, 2.5],\n",
       "       [6.5, 3.2, 5.1, 2. ],\n",
       "       [6.4, 2.7, 5.3, 1.9],\n",
       "       [6.8, 3. , 5.5, 2.1],\n",
       "       [5.7, 2.5, 5. , 2. ],\n",
       "       [5.8, 2.8, 5.1, 2.4],\n",
       "       [6.4, 3.2, 5.3, 2.3],\n",
       "       [6.5, 3. , 5.5, 1.8],\n",
       "       [7.7, 3.8, 6.7, 2.2],\n",
       "       [7.7, 2.6, 6.9, 2.3],\n",
       "       [6. , 2.2, 5. , 1.5],\n",
       "       [6.9, 3.2, 5.7, 2.3],\n",
       "       [5.6, 2.8, 4.9, 2. ],\n",
       "       [7.7, 2.8, 6.7, 2. ],\n",
       "       [6.3, 2.7, 4.9, 1.8],\n",
       "       [6.7, 3.3, 5.7, 2.1],\n",
       "       [7.2, 3.2, 6. , 1.8],\n",
       "       [6.2, 2.8, 4.8, 1.8],\n",
       "       [6.1, 3. , 4.9, 1.8],\n",
       "       [6.4, 2.8, 5.6, 2.1],\n",
       "       [7.2, 3. , 5.8, 1.6],\n",
       "       [7.4, 2.8, 6.1, 1.9],\n",
       "       [7.9, 3.8, 6.4, 2. ],\n",
       "       [6.4, 2.8, 5.6, 2.2],\n",
       "       [6.3, 2.8, 5.1, 1.5],\n",
       "       [6.1, 2.6, 5.6, 1.4],\n",
       "       [7.7, 3. , 6.1, 2.3],\n",
       "       [6.3, 3.4, 5.6, 2.4],\n",
       "       [6.4, 3.1, 5.5, 1.8],\n",
       "       [6. , 3. , 4.8, 1.8],\n",
       "       [6.9, 3.1, 5.4, 2.1],\n",
       "       [6.7, 3.1, 5.6, 2.4],\n",
       "       [6.9, 3.1, 5.1, 2.3],\n",
       "       [5.8, 2.7, 5.1, 1.9],\n",
       "       [6.8, 3.2, 5.9, 2.3],\n",
       "       [6.7, 3.3, 5.7, 2.5],\n",
       "       [6.7, 3. , 5.2, 2.3],\n",
       "       [6.3, 2.5, 5. , 1.9],\n",
       "       [6.5, 3. , 5.2, 2. ],\n",
       "       [6.2, 3.4, 5.4, 2.3],\n",
       "       [5.9, 3. , 5.1, 1.8]])"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 数据\n",
    "iris_datasets['data']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "inside-wrestling",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 测量过的每朵花的品种\n",
    "iris_datasets['target']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "authentic-honey",
   "metadata": {},
   "source": [
    "## 划分训练集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "environmental-sphere",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "studied-grave",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 参数1：预测值数组\n",
    "# 参数2：结果数组\n",
    "# 参数3：打乱随机数\n",
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "    iris_datasets['data'],\n",
    "    iris_datasets['target'],\n",
    "    random_state=0\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "little-punishment",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((112, 4), (112,))"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape, y_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "recovered-albert",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((38, 4), (38,))"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "essential-certification",
   "metadata": {},
   "source": [
    "## 观察数据，绘制散点图矩阵"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "original-childhood",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 利用X_train中的数据创建DataFrame\n",
    "# 利用iris_dataset.feature_names中的字符串对数据列进行标记\n",
    "iris_dataframe = pd.DataFrame(X_train, columns=iris_datasets.feature_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "unexpected-reservation",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 利用DataFrame创建散点图矩阵，按y_train着色\n",
    "grr = pd.plotting.scatter_matrix(iris_dataframe, c=y_train, figsize=(15, 15), marker='o', hist_kwds={\"bins\": 20}, s=60, alpha=.8, cmap=mglearn.cm3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "round-resistance",
   "metadata": {},
   "source": [
    "## 使用K近邻算法分类"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "twenty-adelaide",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "obvious-gibraltar",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 邻居个数为1\n",
    "knn = KNeighborsClassifier(n_neighbors=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "later-manual",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KNeighborsClassifier(n_neighbors=1)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 训练数据\n",
    "knn.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "indonesian-think",
   "metadata": {},
   "source": [
    "## 使用模型预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "changing-chess",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_new = np.array([[5, 2.9, 1, 0.2]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "official-diagram",
   "metadata": {},
   "outputs": [],
   "source": [
    "prediction = knn.predict(X_new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "twenty-spiritual",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0])"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "distributed-brighton",
   "metadata": {},
   "source": [
    "## 拿到预测的鸢尾花类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "terminal-assault",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'setosa'"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 拿到对应的预测分类名称\n",
    "iris_datasets['target_names'][prediction][0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "furnished-coordination",
   "metadata": {},
   "source": [
    "## 评估模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "olympic-carrier",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = knn.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "moved-presence",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 1, 0, 2, 0, 2, 0, 1, 1, 1, 2, 1, 1, 1, 1, 0, 1, 1, 0, 0, 2, 1,\n",
       "       0, 0, 2, 0, 0, 1, 1, 0, 2, 1, 0, 2, 2, 1, 0, 2])"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "wrapped-president",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ True,  True,  True,  True,  True,  True,  True,  True,  True,\n",
       "        True,  True,  True,  True,  True,  True,  True,  True,  True,\n",
       "        True,  True,  True,  True,  True,  True,  True,  True,  True,\n",
       "        True,  True,  True,  True,  True,  True,  True,  True,  True,\n",
       "        True, False])"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看精度\n",
    "y_pred == y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "blocked-lesson",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9736842105263158"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(y_pred == y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "acting-thailand",
   "metadata": {},
   "outputs": [],
   "source": [
    "np.mean?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "current-relevance",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9736842105263158"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 使用knn自己的方法评估精度\n",
    "knn.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fifteen-southeast",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
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